Methods and apparatus for deblocking filtering of non-local intra prediction

ABSTRACT

Methods and apparatus are provided for deblocking filtering on non-local intra prediction. An apparatus includes an encoder for encoding picture data using non-local intra prediction. The encoder includes a deblocking filter configured for use with non-local intra prediction modes so as to deblock filter at least a portion of the picture data encoded using the non-local intra prediction.

CROSS-REFERENCE TO RELATED APPLICATIONS

This application claims the benefit of U.S. Provisional Application Ser.No. 61/044,171 (Attorney Docket No. PU080047), filed 11 Apr. 2008, whichis incorporated by reference herein in its entirety.

TECHNICAL FIELD

The present principles relate generally to video encoding and decodingand, more particularly, to methods and apparatus for deblockingfiltering of non-local intra prediction.

BACKGROUND

In a block-based predictive video coding model, an image block can becoded by generating a prediction, subtracting the prediction from theimage block to generate the residue, transforming the residue, andquantizing the transformed residue, and finally transmitting thequantized residue coefficients. Since the quantization process can causeinformation loss, visible blocking artifacts may often be producedbetween adjacent coding blocks. In particular, the smooth region and theedge between adjacent coding blocks may appear discontinuous, which ishighly undesirable.

In order to remove or reduce such artifacts, some filtering can beperformed in order to smooth the transition between adjacent codingblocks which are likely to present some blocking artifacts. Thefiltering strength on block boundaries often depends on the predictionmodes used in each coding block, since correlations exist between thecoding modes used and the blocking artifact perceived at a givenbitrate. In intra prediction, most of the current video encodingtechniques (e.g., intra prediction in accordance with the InternationalOrganization for Standardization/International ElectrotechnicalCommission (ISO/IEC) Moving Picture Experts Group-4 (MPEG-4) Part 10Advanced Video Coding (AVC) standard/International TelecommunicationUnion, Telecommunication Sector (ITU-T) H.264 Recommendation(hereinafter the “MPEG-4 AVC Standard”)) exploit local neighboringinformation to generate the prediction of the current block. Therefore,current deblocking filtering methods for intra predicted blocks aredesigned based on the knowledge of local information.

Recently, some non-local intra prediction approaches have beenintroduced and have achieved good coding efficiency. One such exampleincludes displacement intra prediction (DIP). Another such exampleincludes template matching prediction (TMP). These approaches try toexploit a region's self-similarity existing within the picture.Specifically, non-local intra prediction techniques can use non-localinformation within the decoded portion of the encoding picture togenerate the prediction, which is different from the local intraprediction techniques (e.g., intra prediction in accordance with theMPEG-4 AVC Standard) that exploit only the local neighboring data. Whensuch non-local prediction techniques are introduced in intra prediction,deblocking filtering methods and strategies designed so far may fail inproperly filtering out blocky artifacts. Indeed, the filtering strategydefined for local intra prediction should be modified for more efficientdeblocking filtering of other prediction approaches such as non-localprediction.

In the MPEG-4 AVC Standard, a filter is applied to each decodedmacroblock in order to reduce blocking artifacts. The deblocking filteris applied on reconstructed picture data in both the encoder anddecoder. The filter smoothes block transitions, improving the appearanceof decoded frames. Filtering is applied to vertical or horizontal edgesof 4×4 blocks in a macroblock (except for edges on the sliceboundaries). The default deblocking filtering order is to filter edgesin the luma component first, and then to filter edges in the chromacomponents. In each component, vertical edges are filtered beforehorizontal edges. Turning to FIGS. 1A and 1B, a 16×16 luma component ofa macroblock and a 8×8 chroma component of the macroblock are indicatedgenerally by the reference numerals 100 and 150, respectively. The edgefiltering order in the macroblock is as follows: a; b; c; d; e; f; g; h;i; j; k; and l. Each filtering operation affects up to three samples oneither side of the boundary. Turning to FIGS. 2A and 2B, samplesadjacent to vertical and horizontal boundaries are indicated generallyby the reference numerals 200 and 250, respectively. In particular, foursamples are shown on either side of a vertical or horizontal boundary inadjacent blocks p and q (p0, p1, p2, p3 and q0, q1, q2, q3,respectively). In the MPEG-4 AVC Standard, the filter used fordeblocking in a particular location depends on the boundary strength(BS), the gradient of image samples across the boundary, and the currentquantization strength.

Turning to FIG. 3, an exemplary method for selecting a deblockingfiltering boundary strength (bS) with respect to the MPEG-4 AVC Standardis indicated generally by the reference numeral 300. The method 300includes a start block 305 that passes control to a function block 310.The function block 310 inputs p and q blocks and intra prediction modes,and passes control to a decision block 315. The decision block 315determines whether the block p or the block q is intra coded. If so,then control is passed to a decision block 320. Otherwise, control ispassed to a decision block 335.

The decision block 320 determines whether or not the block boundary is amacroblock boundary. If so, then control is passed to a function block325. Otherwise, control is passed to a function block 330.

The function block 325 sets the boundary strength (bS) equal to four,and passes control to a function block 365.

The function block 365 outputs the boundary strength (bS), and passescontrol to an end block 399.

The function block 330 sets the boundary strength (bS) equal to three,and passes control to the function block 365.

The decision block 335 determines whether or not there is a coefficientcoded in block p or block q. If so, then control is passed to a functionblock 340. Otherwise, control is passed to a decision block 345.

The function block 340 sets the boundary strength (bS) equal to two, andpasses control to the function block 365.

The decision block 345 determines whether or not the block p and theblock q have a different reference frame number of a different number ofreference frames. If so, then control is passed to a function block 350.Otherwise, control is passed to a decision block 355.

The function block 350 sets the boundary strength (bS) equal to one, andpasses control to the function block 365.

The decision block 355 determines whether or not the difference of themotion vectors of the pixels in two boundary sides is larger than one.If so, then control is passed to the function block 350. Otherwise,control is passed to a function block 360.

The function block 360 sets the boundary strength (bS) equal to zero,and passes control to the function block 365.

Hence, the boundary strength parameter (BS) is chosen according to therules illustrated in FIG. 3. The result of applying these rules is thatthe filtering strength depends on the encoded data such that it isstronger at places where there is likely to be significant blockyartifacts (e.g., the boundary of an intra coded macroblock or a boundarybetween blocks that include coded coefficients). Based on the selectionof boundary strength, the final filtering process is determined by thequantization parameter and the gradient of image samples across theboundary.

In FIG. 3, we can see that the MPEG-4 AVC Standard uses a higherboundary strength value for intra coded blocks, since the local intraprediction techniques used by the MPEG-4 AVC Standard use very simplemodels. However, these very simply models are unable to predict thewhole set of components of the signal, resulting in more residueinformation for subsequent coding. The more prediction residue that isleft for coding, the higher the probability of information loss duringquantization which, in turn, may cause more blocky artifacts around theblock boundary. However, if more advanced intra prediction approachesare introduced, such as non-local intra prediction techniques, theexisting deblocking scheme is no longer suitable for those blocks.

Non-local Intra Prediction

Non-local intra prediction accounts for those techniques that canexploit non-local information within the encoded picture in order togenerate a prediction of the current coding block or region. Non-localinformation includes decoded data available at both the encoder anddecoder. We can classify the non-local intra prediction techniques intoforward prediction and backward prediction techniques based on thenecessity of overhead transmitted. Displaced intra prediction andtemplate matching prediction are typical forward and backward non-localintra prediction techniques, respectively.

Displaced Intra Prediction (DIP)

Motivated by inter motion compensation, displaced intra predictionreuses block patches in the reconstructed decoded area of a picture inorder to predict the current block. Displaced intra prediction looks forthe most similar block to the current block to be encoded within thereconstructed area of the picture that includes the current block. Anintra displacement vector per block or partition is thus sent to thedecoder as overhead. Turning to FIG. 4, an example of displaced intraprediction (DIP) is indicated generally by the reference numeral 400.The displaced intra prediction 400 involves a region to be encoded 410,a current block 411 to be encoded that is located within the region 410,a reconstructed region 430 located in the same picture as the patch 410,a candidate block 431 in the reconstructed region 410, and an intradisplacement vector 440. Displaced intra prediction is very suitable forcoding pictures with a lot of repetitive texture or structure patterns.

Template Matching Prediction (TMP)

Turning to FIG. 5, an example of template matching prediction (TMP) isindicated generally by the reference numeral 500. The template matchingprediction 500 involves a region to be encoded 510, a current template511 including a current block 512 to be encoded, a reconstructed region530 in the same picture as the patch 510, a candidate template 533within the reconstructed region 530, and a candidate block 531 withinthe candidate template 533.

As shown in FIG. 5, template matching prediction also generatespredictions by reusing available reconstructed data at the encoder ordecoder. Unlike displaced intra prediction, template matching predictionuses backward-adaptive texture synthesis techniques, requiring nooverhead to be sent. Template matching prediction measures thesimilarity between the surrounding neighboring pixels (available at boththe encoder and decoder) and candidate template for prediction ratherthan the original block data as used in displaced intra prediction.Since no additional overhead is required by template matchingprediction, the target block can be partitioned into smaller blocks forprediction. This allows for more accurate modeling of high frequencycomponents and complicated structures, reducing the residue to be coded.Template matching imposes a certain smoothness on the predicted blockwith respect to the neighboring blocks that have been used for thematching reference. This imposes some continuity in the prediction,which reduces the blocking effect due to prediction.

Non-local Infra Prediction with IC

The previously described non-local intra prediction techniques typicallyuse the Sum of Absolute Differences (SAD) or Sum Squared Errors (SSE) tomeasure the similarity between two templates (in template matchingprediction) or two blocks (in displaced intra prediction). Although suchmeasurement works well in most cases, it is not efficient enough whenthere is some mismatch between the templates or blocks. This may happenin the presence of illumination disparities or geometric variations,leading to sub-optimal prediction synthesis and a larger residue. Thisis due to the fact that non-local prediction techniques cannot alwayscapture the local features of an image, such as contrast and brightness.Various adaptive illumination compensation (IC) approaches have beenproposed to solve this problem explicitly or implicitly. Introducingillumination compensation to intra prediction results in furtherimprovement in the prediction efficiency, which leads to a smalleramount of residue coefficients to be coded compared to the case withoutillumination compensation.

Non-local prediction techniques are able to provide better intraprediction. This reduces the amount of residue and, consequently, theprobability of having blocking artifacts. Hence, the different nature ofthese prediction techniques requires the use of an adapted deblockingprocedure.

SUMMARY

These and other drawbacks and disadvantages of the prior art areaddressed by the present principles, which are directed to methods andapparatus for deblocking filtering of non-local intra prediction.

According to an aspect of the present principles, there is provided anapparatus. The apparatus includes an encoder for encoding picture datausing non-local intra prediction. The encoder includes a deblockingfilter configured for use with non-local intra prediction modes so as todeblock filter at least a portion of the picture data encoded using thenon-local intra prediction.

According to another aspect of the present principles, there is provideda method. The method includes encoding picture data using non-localintra prediction. The encoding step includes performing deblockingfiltering configured for use with non-local intra prediction modes so asto deblock filter at least a portion of the picture data encoded usingthe non-local intra prediction.

According to still another aspect of the present principles, there isprovided an apparatus. The apparatus includes a decoder for decodingpicture data using non-local intra prediction. The decoder includes adeblocking filter configured for use with non-local intra predictionmodes so as to deblock filter at least a portion of the picture datadecoded using the non-local intra prediction.

According to a further aspect of the present principles, there isprovided a method. The method includes decoding picture data usingnon-local intra prediction. The decoding step includes performingdeblocking filtering configured for use with non-local intra predictionmodes so as to deblock filter at least a portion of the picture datadecoded using the non-local intra prediction.

These and other aspects, features and advantages of the presentprinciples will become apparent from the following detailed descriptionof exemplary embodiments, which is to be read in connection with theaccompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

The present principles may be better understood in accordance with thefollowing exemplary figures, in which:

FIGS. 1A and 1B are block diagram respectively showing a 16×16 lumacomponent of a macroblock and a 8×8 chroma component of the macroblock,to which the present principles may be applied;

FIGS. 2A and 2B are block diagrams respectively showing samples adjacentto vertical and horizontal boundaries, to which the present principlesmay be applied;

FIG. 3 is a flow diagram showing an exemplary method for selecting adeblocking filtering boundary strength (bS) with respect to the MPEG-4AVC Standard;

FIG. 4 is a block diagram showing an example of displaced intraprediction (DIP), to which the present principles may be applied;

FIG. 5 is a block diagram showing an example of template matchingprediction (TMP), to which the present principles may be applied;

FIG. 6 is a block diagram showing an exemplary MPEG-4 AVC Standard basedvideo encoder with non-local intra prediction, in accordance with anembodiment of the present principles;

FIG. 7 is a block diagram showing an exemplary MPEG-4 AVC Standard basedvideo decoder with non-local intra prediction, in accordance with anembodiment of the present principles;

FIG. 8 is a block diagram showing an exemplary MPEG-4 AVC Standard basedvideo encoder with non-local intra prediction and illuminationcompensation, in accordance with an embodiment of the presentprinciples;

FIG. 9 is a block diagram showing an exemplary MPEG-4 AVC Standard basedvideo decoder with non-local intra prediction and illuminationcompensation, in accordance with an embodiment of the presentprinciples;

FIG. 10A is a flow diagram showing an exemplary method for deblockingfiltering, in accordance with an embodiment of the present principles;

FIG. 10B is a flow diagram showing an exemplary sub-method of the methodof FIG. 10A for deblocking filtering, without considering non-localprediction, in accordance with an embodiment of the present principles;

FIG. 10C is a flow diagram showing an exemplary sub-method of the methodof FIG. 10A for deblocking filtering, without considering illuminationcompensation, in accordance with an embodiment of the presentprinciples;

FIG. 10D is a flow diagram showing an exemplary sub-method of the methodof FIG. 10A for deblocking filtering, that considers illuminationcompensation, in accordance with an embodiment of the presentprinciples;

FIG. 11A is a flow diagram showing an exemplary method for deblockingfiltering without considering non-local prediction, in accordance withan embodiment of the present principles;

FIG. 11B, an exemplary method for deblocking filtering that considersnon-local prediction, in accordance with an embodiment of the presentprinciples;

FIG. 11C, an exemplary method for deblocking filtering that considersnon-local prediction and illumination compensation, in accordance withan embodiment of the present principles;

FIG. 12, an exemplary method for determining boundary strength forboundary strength filtering in consideration of non-local prediction, inaccordance with an embodiment of the present principles; and

FIG. 13, an exemplary method for determining boundary strength bS withnon-local prediction and illumination compensation is indicatedgenerally by the reference numeral 1300.

DETAILED DESCRIPTION

The present principles are directed to methods and apparatus fordeblocking filtering of non-local intra prediction.

The present description illustrates the present principles. It will thusbe appreciated that those skilled in the art will be able to devisevarious arrangements that, although not explicitly described or shownherein, embody the present principles and are included within its spiritand scope.

All examples and conditional language recited herein are intended forpedagogical purposes to aid the reader in understanding the presentprinciples and the concepts contributed by the inventor(s) to furtheringthe art, and are to be construed as being without limitation to suchspecifically recited examples and conditions.

Moreover, all statements herein reciting principles, aspects, andembodiments of the present principles, as well as specific examplesthereof, are intended to encompass both structural and functionalequivalents thereof.

Additionally, it is intended that such equivalents include bothcurrently known equivalents as well as equivalents developed in thefuture, i.e., any elements developed that perform the same function,regardless of structure.

Thus, for example, it will be appreciated by those skilled in the artthat the block diagrams presented herein represent conceptual views ofillustrative circuitry embodying the present principles. Similarly, itwill be appreciated that any flow charts, flow diagrams, statetransition diagrams, pseudocode, and the like represent variousprocesses which may be substantially represented in computer readablemedia and so executed by a computer or processor, whether or not suchcomputer or processor is explicitly shown.

The functions of the various elements shown in the figures may beprovided through the use of dedicated hardware as well as hardwarecapable of executing software in association with appropriate software.When provided by a processor, the functions may be provided by a singlededicated processor, by a single shared processor, or by a plurality ofindividual processors, some of which may be shared. Moreover, explicituse of the term “processor” or “controller” should not be construed torefer exclusively to hardware capable of executing software, and mayimplicitly include, without limitation, digital signal processor (“DSP”)hardware, read-only memory (“ROM”) for storing software, random accessmemory (“RAM”), and non-volatile storage.

Other hardware, conventional and/or custom, may also be included.Similarly, any switches shown in the figures are conceptual only. Theirfunction may be carried out through the operation of program logic,through dedicated logic, through the interaction of program control anddedicated logic, or even manually, the particular technique beingselectable by the implementer as more specifically understood from thecontext.

In the claims hereof, any element expressed as a means for performing aspecified function is intended to encompass any way of performing thatfunction including, for example, a) a combination of circuit elementsthat performs that function or b) software in any form, including,therefore, firmware, microcode or the like, combined with appropriatecircuitry for executing that software to perform the function. Thepresent principles as defined by such claims reside in the fact that thefunctionalities provided by the various recited means are combined andbrought together in the manner which the claims call for. It is thusregarded that any means that can provide those functionalities areequivalent to those shown herein.

Reference in the specification to “one embodiment” or “an embodiment” ofthe present principles, as well as other variations thereof, means thata particular feature, structure, characteristic, and so forth describedin connection with the embodiment is included in at least one embodimentof the present principles. Thus, the appearances of the phrase “in oneembodiment” or “in an embodiment”, as well any other variations,appearing in various places throughout the specification are notnecessarily all referring to the same embodiment.

It is to be appreciated that the use of any of the following “l”,“and/or”, and “at least one of”, for example, in the cases of “A/B”, “Aand/or B” and “at least one of A and B”, is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of both options (A andB). As a further example, in the cases of “A, B, and/or C” and “at leastone of A, B, and C”, such phrasing is intended to encompass theselection of the first listed option (A) only, or the selection of thesecond listed option (B) only, or the selection of the third listedoption (C) only, or the selection of the first and the second listedoptions (A and B) only, or the selection of the first and third listedoptions (A and C) only, or the selection of the second and third listedoptions (B and C) only, or the selection of all three options (A and Band C). This may be extended, as readily apparent by one of ordinaryskill in this and related arts, for as many items listed.

Moreover, it is to be appreciated that while one or more embodiments ofthe present principles are described herein with respect to the MPEG-4AVC standard, the present principles are not limited to solely thisstandard and, thus, may be utilized with respect to other video codingstandards, recommendations, and extensions thereof, including extensionsof the MPEG-4 AVC standard, while maintaining the spirit of the presentprinciples.

Further, it is to be appreciated that while embodiments of the presentprinciples are described with respect to intra prediction techniquessuch as displaced intra prediction and template matching prediction, thepresent principles are not limited solely to the preceding types ofintra prediction techniques and, thus, other intra prediction techniquesmay also be used in accordance with the teachings of the presentprinciples, while maintaining the spirit of the present principles.

Also, it is to be appreciated that the present principles may be appliedto non-local intra prediction techniques that use illuminationcompensation, while maintaining the spirit of the present principles.

Additionally, it is to be appreciated that the preceding and othertechniques to which the present principles may be applied are readilydetermined by one of ordinary skill in this and related arts given theteachings of the present principles provided herein, while maintainingthe spirit of the present principles.

Displaced intra prediction and template matching prediction areexemplary non-local prediction approaches used herein for illustrativepurposes. Thus, it is to be appreciated that the present principles arenot limited to solely the preceding types of intra prediction techniquesand can be used with respect to other non-local prediction techniques,while maintaining the spirit of the present principles. Moreover, thepresent principles may also be applied to non-local predictiontechniques where illumination compensation is involved, whilemaintaining the spirit of the present principles.

Turning to FIG. 6, an exemplary MPEG-4 AVC Standard based video encoderwith non-local intra prediction is indicated generally by the referencenumeral 600.

The video encoder 600 includes a frame ordering buffer 610 having anoutput in signal communication with a non-inverting input of a combiner685. An output of the combiner 685 is connected in signal communicationwith a first input of a transformer and quantizer 625. An output of thetransformer and quantizer 625 is connected in signal communication witha first input of an entropy coder 645 and a first input of an inversetransformer and inverse quantizer 650. An output of the entropy coder645 is connected in signal communication with a first non-invertinginput of a combiner 690. An output of the combiner 690 is connected insignal communication with a first input of an output buffer 635.

A first output of an encoder controller 605 is connected in signalcommunication with a second input of the frame ordering buffer 610, asecond input of the inverse transformer and inverse quantizer 650, aninput of a picture-type decision module 615, a first input of amacroblock-type (MB-type) decision module 620, a second input of anintra prediction module 660, a second input of a deblocking filter 665,a first input of a motion compensator 670, a first input of a motionestimator 675, and a second input of a reference picture buffer 680.

A second output of the encoder controller 605 is connected in signalcommunication with a first input of a Supplemental EnhancementInformation (SEI) inserter 630, a second input of the transformer andquantizer 625, a second input of the entropy coder 645, a second inputof the output buffer 635, and an input of the Sequence Parameter Set(SPS) and Picture Parameter Set (PPS) inserter 640.

A third output of the encoder controller 605 is connected in signalcommunication with a first input of a non-local intra predictor 644.

An output of the SEI inserter 630 is connected in signal communicationwith a second non-inverting input of the combiner 690.

A first output of the picture-type decision module 615 is connected insignal communication with a third input of a frame ordering buffer 610.A second output of the picture-type decision module 615 is connected insignal communication with a second input of a macroblock-type decisionmodule 620.

An output of the Sequence Parameter Set (SPS) and Picture Parameter Set(PPS) inserter 640 is connected in signal communication with a thirdnon-inverting input of the combiner 690.

An output of the inverse quantizer and inverse transformer 650 isconnected in signal communication with a first non-inverting input of acombiner 619. An output of the combiner 619 is connected in signalcommunication with a first input of the intra prediction module 660 anda first input of the deblocking filter 665. An output of the deblockingfilter 665 is connected in signal communication with a first input of areference picture buffer 680. A first output of the reference picturebuffer 680 is connected in signal communication with a second input ofthe motion estimator 675 and a third input of the motion compensator670. A second output of the reference picture buffer 680 is connected insignal communication with a second input of the non-local intrapredictor 644. A first output of the motion estimator 675 is connectedin signal communication with a second input of the motion compensator370. A second output of the motion estimator 675 is connected in signalcommunication with a third input of the entropy coder 645.

An output of the motion compensator 670 is connected in signalcommunication with a first input of a switch 697. An output of the intraprediction module 660 is connected in signal communication with a secondinput of the switch 697. An output of the non-local intra predictor 644is connected in signal communication with a third input of the switch697. An output of the macroblock-type decision module 620 is connectedin signal communication with a fourth input of the switch 697. Thefourth input of the switch 697 determines whether or not the “data”input of the switch (as compared to the control input, i.e., the fourthinput) is to be provided by the motion compensator 670 or the intraprediction module 660 or the non-local intra predictor 644. The outputof the switch 697 is connected in signal communication with a secondnon-inverting input of the combiner 619 and an inverting input of thecombiner 685.

A first input of the frame ordering buffer 610 and an input of theencoder controller 605 are available as input of the encoder 600, forreceiving an input picture. Moreover, a second input of the SupplementalEnhancement Information (SEI) inserter 630 is available as an input ofthe encoder 600, for receiving metadata. An output of the output buffer635 is available as an output of the encoder 600, for outputting abitstream.

Turning to FIG. 7, an exemplary MPEG-4 AVC Standard based video decoderwith non-local intra prediction is indicated generally by the referencenumeral 700.

The video decoder 700 includes an input buffer 710 having an outputconnected in signal communication with a first input of the entropydecoder 745. A first output of the entropy decoder 745 is connected insignal communication with a first input of an inverse transformer andinverse quantizer 750. An output of the inverse transformer and inversequantizer 750 is connected in signal communication with a secondnon-inverting input of a combiner 725. An output of the combiner 725 isconnected in signal communication with a second input of a deblockingfilter 765 and a first input of an intra prediction module 760. A secondoutput of the deblocking filter 765 is connected in signal communicationwith a first input of a reference picture buffer 780. A first output ofthe reference picture buffer 780 is connected in signal communicationwith a second input of a motion compensator 770. A second output of thereference picture buffer 780 is connected in signal communication with asecond input of a non-local intra predictor 744.

A second output of the entropy decoder 745 is connected in signalcommunication with a third input of the motion compensator 770 and afirst input of the deblocking filter 765. A third output of the entropydecoder 745 is connected in signal communication with an input of adecoder controller 705. A fourth output of the entropy decoder 745 isconnected in signal communication with a first input of the non-localintra predictor 744. A first output of the decoder controller 705 isconnected in signal communication with a second input of the entropydecoder 745. A second output of the decoder controller 705 is connectedin signal communication with a second input of the inverse transformerand inverse quantizer 750. A third output of the decoder controller 705is connected in signal communication with a third input of thedeblocking filter 765. A fourth output of the decoder controller 705 isconnected in signal communication with a second input of the intraprediction module 760, a first input of the motion compensator 770, asecond input of the reference picture buffer 780, and a third input ofthe non-local intra predictor 744.

An output of the motion compensator 770 is connected in signalcommunication with a first input of a switch 797. An output of the intraprediction module 760 is connected in signal communication with a secondinput of the switch 797. An output of the non-local intra predictor 744is connected in signal communication with a third input of the switch797. An output of the switch 797 is connected in signal communicationwith a first non-inverting input of the combiner 725.

An input of the input buffer 710 is available as an input of the decoder700, for receiving an input bitstream. A first output of the deblockingfilter 765 is available as an output of the decoder 700, for outputtingan output picture.

Turning to FIG. 8, an exemplary MPEG-4 AVC Standard based video encoderwith non-local intra prediction and illumination compensation isindicated generally by the reference numeral 800.

The video encoder 800 includes a frame ordering buffer 810 having anoutput in signal communication with a non-inverting input of a combiner885. An output of the combiner 885 is connected in signal communicationwith a first input of a transformer and quantizer 825. An output of thetransformer and quantizer 825 is connected in signal communication witha first input of an entropy coder 845 and a first input of an inversetransformer and inverse quantizer 850. An output of the entropy coder845 is connected in signal communication with a first non-invertinginput of a combiner 890. An output of the combiner 890 is connected insignal communication with a first input of an output buffer 835.

A first output of an encoder controller 805 is connected in signalcommunication with a second input of the frame ordering buffer 810, asecond input of the inverse transformer and inverse quantizer 850, aninput of a picture-type decision module 815, a first input of amacroblock-type (MB-type) decision module 820, a second input of anintra prediction module 860, a second input of a deblocking filter 865,a first input of a motion compensator 870, a first input of a motionestimator 875, and a second input of a reference picture buffer 880.

A second output of the encoder controller 805 is connected in signalcommunication with a first input of a Supplemental EnhancementInformation (SEI) inserter 830, a second input of the transformer andquantizer 825, a second input of the entropy coder 845, a second inputof the output buffer 835, and an input of the Sequence Parameter Set(SPS) and Picture Parameter Set (PPS) inserter 840.

A third output of the encoder controller 805 is connected in signalcommunication with a first input of a non-local intra predictor withillumination compensation 877 and a first input of an implicitillumination compensation parameters calculator 878.

An output of the SEI inserter 830 is connected in signal communicationwith a second non-inverting input of the combiner 890.

A first output of the picture-type decision module 815 is connected insignal communication with a third input of a frame ordering buffer 810.A second output of the picture-type decision module 815 is connected insignal communication with a second input of a macroblock-type decisionmodule 820.

An output of the Sequence Parameter Set (SPS) and Picture Parameter Set(PPS) inserter 840 is connected in signal communication with a thirdnon-inverting input of the combiner 890.

An output of the implicit illumination compensation parameterscalculator 878 is connected in signal communication with a third inputof the non-local intra predictor with illumination compensation 877.

An output of the inverse quantizer and inverse transformer 850 isconnected in signal communication with a first non-inverting input of acombiner 819. An output of the combiner 819 is connected in signalcommunication with a first input of the intra prediction module 860 anda first input of the deblocking filter 865. An output of the deblockingfilter 865 is connected in signal communication with a first input of areference picture buffer 880. A first output of the reference picturebuffer 880 is connected in signal communication with a second input ofthe motion estimator 875 and a third input of the motion compensator870. A second output of the reference picture buffer 880 is connected insignal communication with a second input of the non-local intrapredictor with illumination compensation 877 and a second input of theimplicit illumination compensation parameters calculator 878. A firstoutput of the motion estimator 875 is connected in signal communicationwith a second input of the motion compensator 870. A second output ofthe motion estimator 875 is connected in signal communication with athird input of the entropy coder 845.

An output of the motion compensator 870 is connected in signalcommunication with a first input of a switch 897. An output of the intraprediction module 360 is connected in signal communication with a secondinput of the switch 897. An output of the non-local intra predictor withillumination compensation 877 is connected in signal communication witha third input of the switch 897. An output of the macroblock-typedecision module 820 is connected in signal communication with a fourthinput of the switch 897. The fourth input of the switch 897 determineswhether or not the “data” input of the switch (as compared to thecontrol input, i.e., the fourth input) is to be provided by the motioncompensator 870 or the intra prediction module 860 or the non-localintra predictor with illumination compensation 877. The output of theswitch 897 is connected in signal communication with a secondnon-inverting input of the combiner 819 and an inverting input of thecombiner 885.

A first input of the frame ordering buffer 810 and an input of theencoder controller 805 are available as input of the encoder 800, forreceiving an input picture. Moreover, a second input of the SupplementalEnhancement Information (SEI) inserter 830 is available as an input ofthe encoder 800, for receiving metadata. An output of the output buffer835 is available as an output of the encoder 800, for outputting abitstream.

Turning to FIG. 9, an exemplary MPEG-4 AVC Standard based video decoderwith non-local intra prediction and illumination compensation isindicated generally by the reference numeral 900.

The video decoder 900 includes an input buffer 910 having an outputconnected in signal communication with a first input of the entropydecoder 945. A first output of the entropy decoder 945 is connected insignal communication with a first input of an inverse transformer andinverse quantizer 950. An output of the inverse transformer and inversequantizer 950 is connected in signal communication with a secondnon-inverting input of a combiner 925. An output of the combiner 925 isconnected in signal communication with a second input of a deblockingfilter 965 and a first input of an intra prediction module 960. A secondoutput of the deblocking filter 965 is connected in signal communicationwith a first input of a reference picture buffer 980. A first output ofthe reference picture buffer 980 is connected in signal communicationwith a second input of a motion compensator 970. A second output of thereference picture buffer 980 is connected in signal communication with asecond input of a non-local intra predictor with illuminationcompensation 977, and a second input of an implicit illuminationcompensation parameters calculator 978. An output of the implicitillumination compensation parameters calculator 978 is connected insignal communication with a third input of the non-local intra predictor977.

A second output of the entropy decoder 945 is connected in signalcommunication with a third input of the motion compensator 970, and afirst input of the deblocking filter 965. A third output of the entropydecoder 945 is connected in signal communication with an input of adecoder controller 905. A first output of the decoder controller 905 isconnected in signal communication with a second input of the entropydecoder 945. A second output of the decoder controller 905 is connectedin signal communication with a second input of the inverse transformerand inverse quantizer 950. A third output of the decoder controller 905is connected in signal communication with a third input of thedeblocking filter 965. A fourth output of the decoder controller 905 isconnected in signal communication with a second input of the intraprediction module 960, a first input of the motion compensator 970, asecond input of the reference picture buffer 980, a first input of thenon-local intra predictor with illumination compensation 977, and afirst input of the implicit illumination compensation parameterscalculator 978.

An output of the motion compensator 970 is connected in signalcommunication with a first input of a switch 997. An output of the intraprediction module 960 is connected in signal communication with a secondinput of the switch 997. An output of the non-local intra predictor withillumination compensation is connected in signal communication with athird input of the switch 997. An output of the switch 997 is connectedin signal communication with a first non-inverting input of the combiner925.

An input of the input buffer 910 is available as an input of the decoder900, for receiving an input bitstream. A first output of the deblockingfilter 965 is available as an output of the decoder 900, for outputtingan output picture.

As noted above, the present principles are directed to methods andapparatus for deblocking filtering of non-local intra prediction.

In accordance with the present principles, we describe a technique fordeblocking filtering that is optimized for use with non-local intraprediction techniques. Advantageously, the present principles arecapable of suppressing blocking artifacts introduced in a video encoderand/or decoder when using non-local intra prediction in image and/orvideo (hereinafter collectively referred to as “image”) compression. Inparticular, the present principles provide exemplary schemes foradaptively determining the boundary strength for deblocking filteringblock boundaries when non-local intra prediction techniques are involvedin the prediction. Moreover, the present principles also provideexemplary schemes for adaptively determining the boundary strength fordeblocking filtering block boundaries according to illuminationcompensation parameters when illumination compensation is enabled foruse in combination with non-local intra prediction.

According to an embodiment, one or more of deblocking filter strength,filter type, and filter length are adapted depending on one or more of ascanning order of picture data, coding mode information or other codingparameters and illumination compensation parameters of adjacent picturedata regions. In an embodiment, a new deblocking filtering boundarystrength determination scheme is introduced in order to properly handleregion transition between the differently predicted picture areas andwhere non-local prediction is involved. Displaced intra prediction andtemplate matching prediction are exemplary non-local predictionapproaches used herein for illustrative purposes. Thus, it is to beappreciated that, as noted above, the present principles are not limitedto solely the preceding types of intra prediction techniques and can beused with respect to other non-local prediction techniques, whilemaintaining the spirit of the present principles. Moreover, as notedabove, the present principles may also be applied to non-localprediction techniques where illumination compensation is involved, whilemaintaining the spirit of the present principles.

Deblocking Filter Adaptation for Non-local Intra Prediction

In an embodiment, the boundary strength determination also takes intoaccount the non-local prediction type information in intra coding. In anembodiment, a suitable boundary strength is set based on thecapabilities of non-local prediction techniques to keep a particularboundary smooth. For example, we can apply smaller boundary strength toboundaries that are formed by blocks coded by non-local predictiontechniques (e.g., template matching prediction and displaced intraprediction). Since template matching prediction can better maintainsmoothness across boundaries than displaced intra prediction, a smallerfiltering boundary strength is set.

Deblocking Filter Adaptation for Non-local Intra Prediction withIllumination Compensation (IC)

When illumination compensation is involved in non-local intraprediction, the boundary strength decision should be able to take thecompensated illumination variation into account. This is due to the factthat illumination compensation is conducted without a block boundarysmoothness constraint. In an embodiment, we take the illuminationcompensation parameters into account for determining the boundarystrength. In an embodiment, the higher boundary strength is applied to agiven boundary currently being evaluated when the difference of theillumination compensation parameters of the corresponding blocks arelarger (for example, than a predetermined threshold, such that the largedifference of illumination parameters at two sides of a boundary has ahigh probability of causing visible artifacts). In an embodiment, theillumination compensation for a block is conducted by multiplying acontrast parameter a and adding an offset parameter b to anuncompensated block. The two parameters can be adaptively calculatedusing the causal neighboring pixels (e.g., from the reconstructed region420 shown in FIG. 4). In one special case, we set a=1, so we only use bto make the boundary strength decision.

Herein, we describe two exemplary embodiments on how to alter thedeblocking filtering boundary strength for non-local intra predictiontechniques. The same methodology can be applied to the filter type andfilter length. For illustrative purposes, we use the MPEG-4 AVC Standardto describe one or more embodiments of the present principles. However,as noted above, the present principles are not limited to solely theMPEG-4 AVC Standard. The first embodiment is directed to the case wherenon-local intra prediction is involved. The second embodiment isdirected to the case where non-local intra prediction and illuminationcompensation are involved.

Turning to FIGS. 10A-6D, an exemplary method for deblocking filtering isindicated generally by the reference numeral 1000. The method 1000includes sub-methods 1060, 1070, and 1080, respectively shown in FIGS.10B, 10C, and 10D.

The method 1000 includes a start block 1005 that passes control to aloop limit block 1010. The loop limit block 1010 begins a loop over eachpicture in an input video sequence, using variable I with a range from 0to num_pictures_minus1, and passes control to a decision block 1015. Thedecision block 1015 determines whether or not non_local_intra_flag isequal to one. If so, then control is passed to a decision block 1020.Otherwise, control is passed to a function block 1040.

The decision block 1020 determines whether or not IC_Intra_flag is equalto one. If so, then control is passed to a function block 1025.Otherwise, control is passed to a function block 1035.

The function block 1025 performs deblocking filtering that considersnon-local prediction and illumination compensation using sub-method 1080(of FIG. 10C), and passes control to a loop limit block 1030.

The loop limit block 1030 ends the loop, and passes control to an endblock 1045.

The function block 1040 performs deblocking filtering that considersnon-local prediction using sub-method 1060 (of FIG. 10A), and passescontrol to the loop limit block 1030.

The function block 1035 performs deblocking filtering that considersnon-local prediction without considering illumination compensation usingsub-method 1070 (of FIG. 10B), and passes control to the loop limitblock 1030.

Sub-method 1060, shown in FIG. 10B, includes a start block 1061 thatpasses control to a loop limit block 1062. The loop limit block 1062begins a loop over each macroblock in a current picture, using variableI with a range from 0 to num_MBs_minus1, and passes control to afunction block 1063. The function block 1063 performs deblockingfiltering (of a current macroblock) without considering non-localprediction, and passes control to a loop limit block 1064. The looplimit block 1064 ends the loop, and passes control to an end block 1065.

Sub-method 1070, shown in FIG. 10C, includes a start block 1071 thatpasses control to a loop limit block 1072. The loop limit block 1072begins a loop over each macroblock in a current picture, using variableI with a range from 0 to num_MBs_minus1, and passes control to afunction block 1073. The function block 1073 adaptively selects thefilter length and filter type for deblocking filtering, performsdeblocking filtering (of a current macroblock) using the selected filterlength and filter type but without considering illuminationcompensation, and passes control to a loop limit block 1074. The looplimit block 1074 ends the loop, and passes control to an end block 1075.

Sub-method 1080, shown in FIG. 10D, includes a start block 1081 thatpasses control to a loop limit block 1082. The loop limit block 1082begins a loop over each macroblock in a current picture, using variableI with a range from 0 to num_MBs_minus1, and passes control to afunction block 1083. The function block 1083 adaptively selects thefilter length and filter type for deblocking filtering, performsdeblocking filtering (of a current macroblock) using the selected filterlength and filter type and considering illumination compensation, andpasses control to a loop limit block 1084. The loop limit block 1084ends the loop, and passes control to an end block 1085.

To summarize method 1000, first we check whether non_local_intra_flag isset (i.e., it is enabled). If non_local_intra_flag is not set, then thedeblocking method 1060 shown in FIG. 10B is performed. Otherwise, ifnon_local_intra_flag is set, then this represents that there arenon-local predictions applied. Then, the IC_intra_flag is checked todetermine whether illumination compensation is applied. If IC_intra_flagis not set (i.e., it is not enabled), then the deblocking method 1070shown in FIG. 10C is performed. Otherwise (i.e., if IC_intra_flag isset), then deblocking method 1080 shown in FIG. 10D is performed. Ifneither non-local intra prediction technique nor illuminationcompensation is involved (i.e., deblocking method 1060 shown in FIG. 10Bis performed), then the macroblock deblocking scheme shown in FIG. 11Ais performed and the boundary strength is determined by following theflowchart in FIG. 3. The following two embodiments respectively describethe other two cases (sub-method 1070 or sub-method 1080 is performed),with non-local intra prediction involved (embodiment 1), and withnon-local prediction and illumination compensation involved (embodiment2).

EMBODIMENT 1 Non-local Intra Prediction is Involved in Intra Prediction

In this embodiment, non-local intra prediction techniques such as, forexample, displaced intra prediction and template matching prediction,are involved to predict the coding blocks. These advanced predictiontechniques can reduce the residue efficiently in most cases. Thus, thedeblocking filtering adaptation scheme should adapt in order to “fit”these techniques. Sub-method 1070 of FIG. 10B is taken to filter eachmacroblock. In this case, since illumination compensation is notinvolved, the method shown in FIG. 11B is performed. The horizontal andvertical boundaries of each macroblock (see, e.g., FIG. 1) are loopedover. For each boundary, the prediction modes of adjacent blocks (forexample, p and q) are used to determine the boundary strength bS. First,we check if there is any block in p or q predicted by a non-localprediction technique. If so (i.e., there is a block in p or q that ispredicted by a non-local prediction technique), then the method 1200shown in FIG. 12 is performed to obtain the boundary strength. Otherwise(i.e., there is no block in p or q that is predicted by a non-localprediction technique), then the method 300 of FIG. 3 is performed.

Turning to FIG. 11A, an exemplary method for deblocking filteringwithout considering non-local prediction is indicated generally by thereference numeral 1100. The method 1100 includes a start block 1103 thatpasses control to a loop limit block 1106. The loop limit block 1106begins a loop over each block boundary in a current picture, usingvariable k with a range from 0 to num_blk_boundary−1, and passes controlto a function block 1109. The function block 1109 obtains predictionsmodes of adjacent blocks p and q, and passes control to a function block1112. The function block 1112 determines the boundary strength bSwithout considering any non-local prediction modes, and passes controlto a function block 1115. The function block 1115 adaptively selects thefilter length and filter type for deblocking filtering, filters theblock boundary using the selected filter length and filter type, andpasses control to a loop limit block 1118. The loop limit block 1118ends the loop, and passes control to an end block 1121.

Turning to FIG. 11B, an exemplary method for deblocking filtering thatconsiders non-local prediction is indicated generally by the referencenumeral 1130. The method 1130 includes a start block 1133 that passescontrol to a loop limit block 1136. The loop limit block 1136 begins aloop over each block boundary in a current picture, using variable kwith a range from 0 to num_blk_boundary−1, and passes control to afunction block 1139. The function block 1139 obtain prediction modes ofadjacent blocks p and q, and passes control to a decision block 1142.The decision bloc 1142 determines whether or not ay block is coded bynon-local intra prediction.

If so, then control is passed to a function block 1145. Otherwise,control is passed to a function block 1154.

The function block 1145 determines the boundary strength bS byconsidering non-local prediction modes, and passes control to a functionblock 1148.

The function block 1148 filters the block boundary, and passes controlto a loop limit block 1151. The loop limit block 1151 ends the loop, andpasses control to an end block 1157.

The function block 1154 determines the boundary strength bS withoutconsidering non-local prediction modes, and passes control to thefunction block 1148.

Turning to FIG. 11C, an exemplary method for deblocking filtering thatconsiders non-local prediction and illumination compensation isindicated generally by the reference numeral 1160. The method 1160includes a start block 1163 that passes control to a loop limit block1166. The loop limit block 1166 begins a loop over each block boundaryin a current picture, using variable k with a range from 0 tonum_blk_boundary−1, and passes control to a function block 1169. Thefunction block 1169 obtain prediction modes of adjacent blocks p and q,and passes control to a decision block 1172. The decision bloc 1172determines whether or not ay block is coded by non-local intraprediction. If so, then control is passed to a function block 1175.Otherwise, control is passed to a function block 1184.

The function block 1175 determines the boundary strength bS byconsidering non-local prediction modes and illumination compensation,and passes control to a function block 1178.

The function block 1178 adaptively selects the filter length and filtertype for deblocking filtering, filters the block boundary using theselected filter length and filter type, and passes control to a looplimit block 1181. The loop limit block 1181 ends the loop, and passescontrol to an end block 1187.

The function block 1184 determines the boundary strength bS withoutconsidering non-local prediction modes, and passes control to thefunction block 1178.

Turning to FIG. 12, an exemplary method for determining boundarystrength for boundary strength filtering in consideration of non-localprediction is indicated generally by the reference numeral 1200. Themethod 1200 includes a start block 1205 that passes control to afunction block 1210. The function block 1210 inputs p and q block intraprediction modes, and passes control to a decision block 1215. Thedecision block 1215 determines whether or not the block boundary is amacroblock boundary. If so, then control is passed to a decision block1220. Otherwise, control is passed to a function block 1230.

The decision block 1220 determines whether or not there are any blockspredicted by an intra prediction mode or displaced intra prediction. Ifso, then control is passed to a function block 1225. Otherwise, controlis passed to the function block 1230.

The function block 1225 sets the boundary strength bS equal to two, andpasses control to a function block 1235. The function block 1235 outputsthe boundary strength, and passes control to an end block 1399.

The function block 1230 sets the boundary strength bS equal to one, andpasses control to the function block 1235.

EMBODIMENT 2 Non-local Intra Prediction and Illumination Compensationare Involved in Intra Prediction

In this embodiment, non-local intra prediction techniques (such as, forexample, displaced intra prediction and template matching prediction)and illumination compensation are involved to predict the coding blocks.In this embodiment, we take the illumination compensation parametersinto account for the boundary strength determination. The sub-method1080 of FIG. 10D is performed in this case. The method 1160 of FIG. 11Cis performed to filter each macroblock. The horizontal and verticalboundaries of each macroblock (see, e.g., FIG. 1) are looped over. Foreach boundary, the prediction modes of adjacent blocks (say p and q) areused for determining the boundary strength bS. First, we check if thereis any block in p or q predicted by non-local prediction techniques. Ifyes, then the method 1300 of FIG. 13 is performed to obtain the boundarystrength bS. Otherwise, the flowchart in FIG. 3 is used to obtain theboundary strength bS. Although all illumination compensation parameterscan be considered for retrieving the boundary strength bS, we onlyselect part of them (offset) in this embodiment shown in FIG. 13 toillustrate our invention.

Turning to FIG. 13, an exemplary method for determining boundarystrength bS with non-local prediction and illumination compensation isindicated generally by the reference numeral 1300.

The method 1300 includes a start block 1305 that passes control to afunction block 1310. The function block 1310 inputs p and q block intraprediction modes, and passes control to a decision block 1315. Thedecision block 1315 determines whether or not p and q are bothillumination compensated blocks. If so, then control is passed to adecision block 1320. Otherwise, control is passed to a decision block1330.

The decision block 1320 determines whether or not|offset(p)−offset(q)|<threshold. If so, then control is passed to afunction block 1325. Otherwise, control is passed to a function block1340.

The function block 1325 sets the boundary strength bS equal to one, andpasses control to a function block 1350.

The function block 1350 outputs the boundary strength bS, and passescontrol to an end block 1399. The function block 1340 sets the boundarystrength bS equal to two, and passes control to the function block 1350.

The decision block 1330 determines whether or not the block boundary isa macroblock boundary. If so, then control is passed to a decision block1335. Otherwise, control is passed to a function block 1345.

The decision block 1335 determines whether or not there is any blockpredicted by an intra prediction mode or displaced intra prediction. Ifso, then control is passed to the function block 1340. Otherwise,control is passed to a function block 1345.

The function block 1345 sets the boundary strength bS equal to one, andpasses control to the function block 1350.

A description will now be given of some of the many attendantadvantages/features of the present invention, some of which have beenmentioned above. For example, one advantage/feature is an apparatushaving an encoder for encoding picture data using non-local intraprediction. The encoder includes a deblocking filter configured for usewith non-local intra prediction modes so as to deblock filter at least aportion of the picture data encoded using the non-local intraprediction.

Another advantage/feature is the apparatus having the encoder asdescribed above, wherein a deblocking filter strength is adaptivelyselected based upon at least one of a scanning order of the picturedata, coding mode information, intra displacement information, andillumination compensation parameters of adjacent picture data regions.

Yet another advantage/feature is the apparatus having the encoder asdescribed above, wherein a deblocking filter type is adaptivelyselected.

Still another advantage/feature is the apparatus having the encoderwherein a deblocking filter type is adaptively selected as describedabove, wherein the deblocking filter type is adaptively selected basedupon at least one of coding parameters and reconstructed picture datacharacteristics.

Moreover, another advantage/feature is the apparatus having the encoderas described above, wherein a deblocking filter length is adaptivelyselected.

Further, another advantage/feature is the apparatus having the encoderwherein a deblocking filter length is adaptively selected as describedabove, wherein the deblocking filter length is adaptively selected basedupon illumination compensation parameters of adjacent picture dataregions.

These and other features and advantages of the present principles may bereadily ascertained by one of ordinary skill in the pertinent art basedon the teachings herein. It is to be understood that the teachings ofthe present principles may be implemented in various forms of hardware,software, firmware, special purpose processors, or combinations thereof.

Most preferably, the teachings of the present principles are implementedas a combination of hardware and software. Moreover, the software may beimplemented as an application program tangibly embodied on a programstorage unit. The application program may be uploaded to, and executedby, a machine comprising any suitable architecture. Preferably, themachine is implemented on a computer platform having hardware such asone or more central processing units (“CPU”), a random access memory(“RAM”), and input/output (“I/O”) interfaces. The computer platform mayalso include an operating system and microinstruction code.

The various processes and functions described herein may be either partof the microinstruction code or part of the application program, or anycombination thereof, which may be executed by a CPU. In addition,various other peripheral units may be connected to the computer platformsuch as an additional data storage unit and a printing unit.

It is to be further understood that, because some of the constituentsystem components and methods depicted in the accompanying drawings arepreferably implemented in software, the actual connections between thesystem components or the process function blocks may differ dependingupon the manner in which the present principles are programmed. Giventhe teachings herein, one of ordinary skill in the pertinent art will beable to contemplate these and similar implementations or configurationsof the present principles.

Although the illustrative embodiments have been described herein withreference to the accompanying drawings, it is to be understood that thepresent principles is not limited to those precise embodiments, and thatvarious changes and modifications may be effected therein by one ofordinary skill in the pertinent art without departing from the scope orspirit of the present principles. All such changes and modifications areintended to be included within the scope of the present principles asset forth in the appended claims.

1. An apparatus, comprising: an encoder for encoding picture data usingnon-local intra prediction, wherein said encoder comprises a deblockingfilter configured for use with non-local intra prediction modes so as todeblock filter at least a portion of the picture data encoded using thenon-local intra prediction.
 2. The apparatus of claim 1, wherein adeblocking filter strength is adaptively selected based upon at leastone of a scanning order of the picture data, coding mode information,intra displacement information, and illumination compensation parametersof adjacent picture data regions.
 3. The apparatus of claim 1, wherein adeblocking filter type is adaptively selected.
 4. The apparatus of claim3, wherein the deblocking filter type is adaptively selected based uponat least one of coding parameters and reconstructed picture datacharacteristics.
 5. The apparatus of claim 1, wherein a deblockingfilter length is adaptively selected.
 6. The apparatus of claim 5,wherein the deblocking filter length is adaptively selected based uponillumination compensation parameters of adjacent picture data regions.7. A method, comprising: encoding picture data using non-local intraprediction, wherein said encoding step comprises performing deblockingfiltering configured for use with non-local intra prediction modes so asto deblock filter at least a portion of the picture data encoded usingthe non-local intra prediction.
 8. The method of claim 7, wherein adeblocking filter strength is adaptively selected based upon at leastone of a scanning order of the picture data, coding mode information,intra displacement information, and illumination compensation parametersof adjacent picture data regions.
 9. The method of claim 7, wherein adeblocking filter type is adaptively selected.
 10. The method of claim9, wherein the deblocking filter type is adaptively selected based uponat least one of coding parameters and reconstructed picture datacharacteristics.
 11. The method of claim 7, wherein a deblocking filterlength is adaptively selected.
 12. The method of claim 11, wherein thedeblocking filter length is adaptively selected based upon illuminationcompensation parameters of adjacent picture data regions.
 13. Anapparatus, comprising: a decoder for decoding picture data usingnon-local intra prediction, wherein said decoder comprises a deblockingfilter configured for use with non-local intra prediction modes so as todeblock filter at least a portion of the picture data decoded using thenon-local intra prediction.
 14. The apparatus of claim 13, wherein adeblocking filter strength is adaptively selected based upon at leastone of a scanning order of the picture data, coding mode information,intra displacement information, and illumination compensation parametersof adjacent picture data regions.
 15. The apparatus of claim 13, whereina deblocking filter type is adaptively selected.
 16. The apparatus ofclaim 15, wherein the deblocking filter type is adaptively selectedbased upon at least one of coding parameters and reconstructed picturedata characteristics.
 17. The apparatus of claim 13, wherein adeblocking filter length is adaptively selected.
 18. The apparatus ofclaim 17, wherein the deblocking filter length is adaptively selectedbased upon illumination compensation parameters of adjacent picture dataregions.
 19. A method, comprising: decoding picture data using non-localintra prediction, wherein said decoding step comprises performingdeblocking filtering configured for use with non-local intra predictionmodes so as to deblock filter at least a portion of the picture datadecoded using the non-local intra prediction.
 20. The method of claim19, wherein a deblocking filter strength is adaptively selected basedupon at least one of a scanning order of the picture data, coding modeinformation, intra displacement information, and illuminationcompensation parameters of adjacent picture data regions.
 21. The methodof claim 19, wherein a deblocking filter type is adaptively selected.22. The method of claim 21, wherein the deblocking filter type isadaptively selected based upon at least one of coding parameters andreconstructed picture data characteristics.
 23. The method of claim 19,wherein a deblocking filter length is adaptively selected.
 24. Themethod of claim 23, wherein the deblocking filter length is adaptivelyselected based upon illumination compensation parameters of adjacentpicture data regions.